4.7 Review

Online Wear Particle Detection Sensors for Wear Monitoring of Mechanical Equipment-A Review

期刊

IEEE SENSORS JOURNAL
卷 22, 期 4, 页码 2930-2947

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2021.3131467

关键词

Sensors; Monitoring; Radiation detectors; Lubricating oils; Detectors; Optical detectors; Magnetic sensors; Wear debris; online sensor; wear monitoring; particle detection; oil monitoring

资金

  1. National Natural Science Foundation of China (NSFC) [51475044]
  2. National Defense Science and Technology Project [JCCPCX201705, 41402050202]
  3. Qin Xin TalentsCultivation Program, Beijing Information Science and Technology University [QXTCPA201903, QXTCPB201901]
  4. Project of State Administration of Foreign Affairs [G20190201032]
  5. Key Research Cultivation Program, Beijing Information Science and Technology University [2121YJPY204]

向作者/读者索取更多资源

This paper presents a review of the state-of-the-art wear debris detectors based on different principles, including optical/imaging, electrical, ultrasonic, and magnetic detection. Optical/imaging and magnetic detectors have shown promising potential in wear monitoring, but there is a need for improving their performance and sensitivity. Future research directions include integrated wear monitoring systems and intelligent wear particle detectors.
Online wear particle detectors have been widely studied due to their ability to monitor the wear state of machines, and to help to prevent serious mechanical failures caused by excessive wear of components. This paper presents a review of the state-of-the-art wear debris detectors based on different principles. That mainly includes optical/imaging particle detectors, electrical particle detectors, ultrasonic particle detectors and magnetic debris detection sensors. Meanwhile, the characteristics and the performance (sensitivity, maximum flow rate, and the detectable information) of each type of sensor are detailed discussed. In conclusion, the optical/imaging and magnetic debris detectors have become promising technologies in the field of wear monitoring. Meanwhile, that the rapid extraction algorithm and three-dimensional reconstruction method of wear debris for optical/imaging debris detectors, and improving the sensitivity and detectability of magnetic debris detectors are the two important research contents in the field. Besides that, it can be predicted that the integrated wear monitoring system that can collect multiple wear-information in-situ, and the intelligent wear particle detector that have the ability of wear monitoring, wear evaluation and fault warning are the main research directions in the future.

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